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Faculty Profile Last Modified Time: 11:24:41 AM Mon, 13 Apr 2020   Contact Information J. Jack Lee Associated Profiles  Professor, Biostatistics, UT MD Anderson Cancer Center, Adjunct Professor, Biostastistics, UT School of Public Health   MDA FCT4.6018, Room No.: Unit 1411    jjlee@mdanderson.org     713-794-4158    Web Link    Non-Small Cell Lung Carcinoma, Neoplasms, Lung Neoplasms, Chemoprevention, Biomarkers, Isotretinoin, Survival, Therapeutics    Associated Profiles Research and Expertise Appointments  Research and Expertise Research Interests   Rapid advancements in molecular biology and genetics have greatly enhanced our understanding of the carcinogenesis process. On the other hand, accumulating experiences on promising chemopreventive agents brings clinical cancer prevention closer to reality. My main research interest lies in the design, conduct, and analysis of translational cancer prevention studies. New statistical methodology is being developed to meet the particular needs of interpreting results from translational cancer prevention research using biomarkers. For example, a more efficient and reliable scoring mechanism was proposed for the mutagen sensitivity assay. Likelihood- weighted confidence intervals were derived to better estimate the treatment difference between 2 randomized groups. Methods in spatial statistics were applied to analyze genetic instability in tumorigenesis. A graphical routine for a versatile 1-dimensional distribution plot was written to facilitate the exploratory data analysis in analyzing biomarkers. In addition, extensions were added to event charts to plot multiple time-to-event data in monitoring clinical trials. I continue to develop and apply innovative biostatistical methodology suitable for translational cancer prevention research. The multidisciplinary research team, which encompasses statistical, clinical, and basic scientists, offers unprecedented opportunities to enhance the understanding of carcinogenesis and in searching for effective mechanisms for cancer prevention. Challenging statistical problems such as modeling and designing studies to incorporate multiple biomarkers in the longitudinal data analysis setting will continue to be investigated. Improvement of the traditional Phase I, II and III trials is also being studied.  Publications/Creative Works Click here to search for this faculty member's publications on PubMed.  Appointments Title Department / School Institution Professor Biostatistics MD Anderson Cancer Center

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